B. Nicolas Bloch
Orcid: 0000-0001-8040-159XAffiliations:
- Boston University, School of Medicine
According to our database1,
B. Nicolas Bloch
authored at least 18 papers
between 2008 and 2019.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on bumc.bu.edu
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Bibliography
2019
Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study.
BMC Medical Imaging, 2019
2018
Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2014
A learning based fiducial-driven registration scheme for evaluating laser ablation changes in neurological disorders.
Neurocomputing, 2014
Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2013
A novel point-based nonrigid image registration scheme based on learning optimal landmark configurations.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Statistical 3D prostate imaging atlas construction via anatomically constrained registration.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Iterative multiple reference tissue method for estimating pharmacokinetic parameters on prostate DCE MRI.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Learning based fiducial driven registration (LEFIR): Evaluating laser ablation changes for neurological applications.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2011
Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.
Comput. Medical Imaging Graph., 2011
Integrating an adaptive region-based appearance model with a landmark-free statistical shape model: application to prostate MRI segmentation.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
A structural-functional MRI-based disease atlas: application to computer-aided-diagnosis of prostate cancer.
Proceedings of the Medical Imaging 2010: Image Processing, 2010
2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
COLLINARUS: collection of image-derived non-linear attributes for registration using splines.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In VivoProstate DCE-MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008